Future-Proofing human resources in the US with AI: A review of trends and implications

O Popo-Olaniyan, OO James, CA Udeh… - International Journal of …, 2022 - fepbl.com
The rapid advancement of Artificial Intelligence (AI) is transforming the landscape of Human
Resources (HR) in the United States, enabling HR professionals to shift from routine …

[HTML][HTML] Artificial neural networks in supply chain management, a review

M Soori, B Arezoo, R Dastres - Journal of Economy and Technology, 2023 - Elsevier
Abstract Artificial Neural Networks (ANNs) are a type of machine learning algorithm inspired
by the structure and function of the human brain. In the context of supply chain management …

[HTML][HTML] A diagnostic analytics model for managing post-disaster symptoms of depression and anxiety among students using a novel data-driven optimization …

M Dehghan-Bonari, M Alipour-Vaezi, MM Nasiri… - Healthcare …, 2023 - Elsevier
Prevalent mental disorders, such as depression and anxiety, commonly manifest in students
throughout the transition to early adulthood. Mental illnesses can significantly impact …

Empowering small businesses with the force of big data analytics and AI: A technological integration for enhanced business management

A Mantri, R Mishra - The Journal of High Technology Management …, 2023 - Elsevier
Small and medium-sized businesses (SMEs) in developing economies still face a number of
obstacles that prevent them from adopting digital technologies. In contrast, SMEs have …

The impact of improving employee psychological empowerment and job performance based on deep learning and artificial intelligence

X Fan, S Zhao, X Zhang, L Meng - Journal of Organizational and End …, 2023 - igi-global.com
In order to improve the management mode of the human resources system and enhance the
work efficiency of employees, this paper uses artificial intelligence (AI) technology to …

Sentiment analysis using deep learning techniques: a comprehensive review

C Sahoo, M Wankhade, BK Singh - International Journal of Multimedia …, 2023 - Springer
With the exponential growth of social media platforms and online communication, the
necessity of using automated sentiment analysis techniques has significantly increased …

Resource management projects in entrepreneurship and retain customer based on big data analysis and artificial intelligence

PQ Huy, SN Shavkatovich, Z Abdul-Samad… - The Journal of High …, 2023 - Elsevier
Retaining clients is turning into an estimation center in an industry with expanding rivalry.
Because it is difficult to keep customers and easy for them to switch brands, the idea of …

Review the role of artificial intelligence in detecting and preventing financial fraud using natural language processing

P Sood, C Sharma, S Nijjer, S Sakhuja - International Journal of System …, 2023 - Springer
Frauds accounted for significant losses in the financial sector and emerged as the industry's
biggest challenge. Companies invest significant amounts to prevent such fraud. It has been …

[HTML][HTML] Recent advancements and challenges of nlp-based sentiment analysis: A state-of-the-art review

JR Jim, MAR Talukder, P Malakar, MM Kabir… - Natural Language …, 2024 - Elsevier
Sentiment analysis is a method within natural language processing that evaluates and
identifies the emotional tone or mood conveyed in textual data. Scrutinizing words and …

Correlation analysis of factors affecting firm performance and employees wellbeing: Application of advanced machine learning analysis

J Pap, C Mako, M Illessy, Z Dedaj, S Ardabili, B Torok… - Algorithms, 2022 - mdpi.com
Given the importance of identifying key performance points in organizations, this research
intends to determine the most critical intra-and extra-organizational elements in assessing …